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Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach

Summary: Disk-based, tree-structured index for single-source distance queries in massive graphs, leveraging vertex-cover partitioning to enable I/O-efficient query processing. I/O-efficient construction algorithm with explicit CPU/I/O bounds; validated on real-world large graphs, showing scalable performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4545
Venue
SIGMOD
Year
2012
Pagerank
6.4795399e-05
Overall Rank
4,067 | 71.71%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
376 TEDI: Efficient Shortest Path Query Answering on Graphs 2010 SIGMOD 0.00025097452
686 Finding Maximal Cliques in Massive Networks by H*-graph 2010 SIGMOD 0.00018178029
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